Vetted Shell Scripting Professionals

“Software engineer/product owner experience at UnitedHealth Group owning a high-volume claims eligibility console end-to-end (React/TypeScript + Spring Boot microservices) processing 1M+ transactions/day. Strong in event-driven architecture (Kafka/RabbitMQ), HIPAA-aligned security (OAuth/JWT/RBAC), and building internal observability tools that improve incident triage and production reliability.”

“Significant contributor/maintainer to an open-source JavaScript event-tracking client SDK, owning API consistency/backward compatibility, high-load batching and retry/backoff improvements, and test/CI + documentation upgrades. Diagnosed production-like issues (missing events under load) via reproduction and logging, then reduced GC pressure and improved predictability with a ring-buffer-based batching redesign while actively triaging issues and reviewing PRs.”

“Backend/platform engineer with hands-on ownership of high-stakes data migrations in regulated domains (core banking and insurance), including a Python ETL framework that migrated 100,000+ customer records within a cutover window. Strong DevOps/GitOps background deploying Python and Spring Boot microservices to Kubernetes with Helm and ArgoCD, plus real-time Kafka transaction streaming for fraud/analytics with reliability patterns (DLQs, retries, partition tuning).”

“Backend Python engineer who owned an AI-driven healthcare staffing matching service, rebuilding the model inference/data pipeline to eliminate blocking bottlenecks and cutting API latency by ~33%. Experienced running Python services on Kubernetes with GitOps/ArgoCD, and has executed a cloud-to-on-prem rollout under tight resource and tooling constraints while also building event-driven streaming updates via a message broker.”

“GenAI/LLM engineer who recently built a production compliance assistant at State Farm for KYC/AML and regulatory teams, using AWS Bedrock + LangChain with Textract/Lambda pipelines to extract fields, tag risk, and summarize long documents. Implemented RAG, strict structured outputs, and human-in-the-loop guardrails, and reports automating ~80% of documentation work while reducing review time by ~40%.”

“AppSec-focused engineer from Kaiser Permanente who advises on authentication/API security, performs lightweight threat modeling, and integrates SAST + dependency scanning into CI/CD while actively reducing false positives to improve release speed. Demonstrated strong troubleshooting using logs/traces/metrics (e.g., diagnosing auth failures caused by clock skew) and communicates security tradeoffs differently for engineering vs product stakeholders.”

“QA/automation engineer with hands-on experience spanning web UI automation (Cypress/JavaScript) and hardware/firmware validation (BIOS/BMC, FPGA). Has delivered high-impact reliability and throughput improvements in server/HPC environments, including automation that enabled booting across ~250 servers and requirement clarification that unblocked firmware work for ~550 servers.”

“DevOps/Cloud engineer with experience supporting large-scale enterprise infrastructure (AT&T: 50+ Power8/Power9 frames and 2,000+ AIX 7.1/7.2 LPARs) and strong hands-on delivery in AWS/Kubernetes. Built secure Jenkins-to-EKS pipelines with SonarQube/Trivy gates and resolved a widespread CVE-driven build outage by patching the Debian base layer. Also created reusable Terraform modules with remote state/locking and automated drift detection to provision full mirror environments in under an hour.”

“Game/tools-focused QA professional with experience at Playable Worlds, Disney, and Metaplace, emphasizing CI-driven quality (Jenkins PR gating, unit tests, Slack/JIRA visibility) in live production environments. Has hands-on defect isolation experience using developer tools to diagnose hard-to-repro player issues and improve turnaround by providing reliable repro steps and clear QA workflows.”

Nandini Reinthala

Screened

Mid-Level Full-Stack Python Developer specializing in AI and data platforms

Dallas, TX5y exp

“Full-stack engineer who builds TypeScript/React SPAs on Python (Flask/FastAPI) backends and has hands-on experience integrating AI components (Azure OpenAI, LangChain, vector databases) into user workflows. Has built internal AI-enabled dashboards/search tools for analysts and business users, emphasizing typed API contracts, CI/CD-driven quality, and microservices reliability patterns (monitoring, retries, idempotency) at scale.”

“Full-stack engineer with hands-on ownership of real-time, Kafka-driven systems in production, spanning React/TypeScript frontends, Spring Boot/Node backends, and AWS (EKS/ECS/EC2) operations. Notable for modernizing legacy batch workflows into event-driven architectures with measurable impact (35% faster risk calculations, 30% better accuracy) and scaling to 2x volume using reliability patterns like idempotency, retries, and staged rollouts.”

Pree Simphliphan

Screened

Intern Software Engineer specializing in robotics, embedded systems, and AI

Thailand1y exp

“Senior design robotics engineer on a "Grocery Robot" project selected for the final round of the $10K SICK Challenge, owning ROS2 system design and behavior-tree-based task orchestration across multiple independently developed modules. Also implemented I2C/ESP32 collision avoidance, IK control for a robotic arm, and a Node.js ordering system, with additional research experience using RPLIDAR-based SLAM.”

Savya Patel

Screened

Junior Mechatronics Engineer specializing in robotics, embedded systems, and mechanical R&D

Watertown, MA3y exp

“Lead hardware/integration engineer on a high-speed autonomous drone for adversarial drone tracking and surveillance, owning the full stack from custom electronics and flight-controller tuning to ROS2 SLAM and GPU-accelerated computer vision. Built a custom USB-based ROS2 LiDAR driver and migrated SLAM from SLAM Toolbox to Google Cartographer, while boosting YOLOv5 tracking from ~2 FPS to ~45 FPS on an NVIDIA Jetson through CUDA/dependency optimization.”

Prasanth Sai

Screened

Mid-level Data Engineer specializing in cloud lakehouse/warehouse pipelines

4y exp

“Data engineer with HCA Healthcare experience building and operating end-to-end AWS-based pipelines for clinical and operational reporting (50–100 GB/day), serving curated data into Redshift/Snowflake for Power BI/Tableau. Emphasizes production reliability (Airflow SLAs/retries/alerting, logging/observability) and strong data quality controls (reconciliations, schema/null/duplicate checks), and has shipped versioned REST APIs to expose warehouse data to downstream systems.”

Shashank R

Screened

Senior Data Engineer specializing in cloud data platforms and real-time analytics

Las Vegas, NV6y exp

“Data engineer (Credit One) who built and owned real-time financial transaction and credit risk/fraud data systems end-to-end on AWS + Snowflake. Delivered high-scale pipelines (150k events/hour; ~2TB/week), raised data accuracy to 99%, and cut Snowflake costs 42% while adding strong observability, schema-drift handling, and production-grade APIs/documentation.”

“Built and shipped enterprise AI products including a conversational SQL analytics platform and a production RAG system at Johnson & Johnson. Combines full-stack engineering with LLM systems expertise, and has delivered measurable impact at scale, including 48% lower retrieval latency and 37% better response relevance across 12M+ records.”

“IBM Power/AIX engineer with hands-on experience building Oracle RAC environments on Power10 (VIOS, HMC, LPAR/DLPAR, SEA/NPIV) and troubleshooting high-severity production incidents involving SAN/network dependencies. Has led infrastructure refresh and data center consolidation efforts (Power9 rebuilds via mksysb, staged cutovers) and built shell-script automation for monitoring and backup to improve operational stability.”